Dataset statistics
| Number of variables | 35 |
|---|---|
| Number of observations | 72983 |
| Missing cells | 149271 |
| Missing cells (%) | 5.8% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 19.5 MiB |
| Average record size in memory | 280.0 B |
Variable types
| Categorical | 18 |
|---|---|
| Numeric | 16 |
| Boolean | 1 |
PurchDate has a high cardinality: 517 distinct values | High cardinality |
Model has a high cardinality: 1063 distinct values | High cardinality |
Trim has a high cardinality: 134 distinct values | High cardinality |
SubModel has a high cardinality: 863 distinct values | High cardinality |
VehYear is highly correlated with VehicleAge and 8 other fields | High correlation |
VehicleAge is highly correlated with VehYear and 5 other fields | High correlation |
MMRAcquisitionAuctionAveragePrice is highly correlated with VehYear and 9 other fields | High correlation |
MMRAcquisitionAuctionCleanPrice is highly correlated with VehYear and 9 other fields | High correlation |
MMRAcquisitionRetailAveragePrice is highly correlated with VehYear and 8 other fields | High correlation |
MMRAcquisitonRetailCleanPrice is highly correlated with VehYear and 8 other fields | High correlation |
MMRCurrentAuctionAveragePrice is highly correlated with VehYear and 9 other fields | High correlation |
MMRCurrentAuctionCleanPrice is highly correlated with VehYear and 9 other fields | High correlation |
MMRCurrentRetailAveragePrice is highly correlated with VehYear and 9 other fields | High correlation |
MMRCurrentRetailCleanPrice is highly correlated with VehYear and 8 other fields | High correlation |
VehBCost is highly correlated with MMRAcquisitionAuctionAveragePrice and 7 other fields | High correlation |
VehYear is highly correlated with VehicleAge and 8 other fields | High correlation |
VehicleAge is highly correlated with VehYear and 5 other fields | High correlation |
MMRAcquisitionAuctionAveragePrice is highly correlated with VehYear and 9 other fields | High correlation |
MMRAcquisitionAuctionCleanPrice is highly correlated with VehYear and 9 other fields | High correlation |
MMRAcquisitionRetailAveragePrice is highly correlated with VehYear and 8 other fields | High correlation |
MMRAcquisitonRetailCleanPrice is highly correlated with VehYear and 8 other fields | High correlation |
MMRCurrentAuctionAveragePrice is highly correlated with VehYear and 9 other fields | High correlation |
MMRCurrentAuctionCleanPrice is highly correlated with VehYear and 9 other fields | High correlation |
MMRCurrentRetailAveragePrice is highly correlated with VehYear and 9 other fields | High correlation |
MMRCurrentRetailCleanPrice is highly correlated with VehYear and 8 other fields | High correlation |
VehBCost is highly correlated with MMRAcquisitionAuctionAveragePrice and 7 other fields | High correlation |
VehYear is highly correlated with VehicleAge | High correlation |
VehicleAge is highly correlated with VehYear | High correlation |
MMRAcquisitionAuctionAveragePrice is highly correlated with MMRAcquisitionAuctionCleanPrice and 7 other fields | High correlation |
MMRAcquisitionAuctionCleanPrice is highly correlated with MMRAcquisitionAuctionAveragePrice and 7 other fields | High correlation |
MMRAcquisitionRetailAveragePrice is highly correlated with MMRAcquisitionAuctionAveragePrice and 7 other fields | High correlation |
MMRAcquisitonRetailCleanPrice is highly correlated with MMRAcquisitionAuctionAveragePrice and 7 other fields | High correlation |
MMRCurrentAuctionAveragePrice is highly correlated with MMRAcquisitionAuctionAveragePrice and 7 other fields | High correlation |
MMRCurrentAuctionCleanPrice is highly correlated with MMRAcquisitionAuctionAveragePrice and 7 other fields | High correlation |
MMRCurrentRetailAveragePrice is highly correlated with MMRAcquisitionAuctionAveragePrice and 7 other fields | High correlation |
MMRCurrentRetailCleanPrice is highly correlated with MMRAcquisitionAuctionAveragePrice and 7 other fields | High correlation |
VehBCost is highly correlated with MMRAcquisitionAuctionAveragePrice and 7 other fields | High correlation |
TopThreeAmericanName is highly correlated with Nationality and 1 other fields | High correlation |
WheelTypeID is highly correlated with WheelType | High correlation |
Nationality is highly correlated with TopThreeAmericanName and 1 other fields | High correlation |
VNST is highly correlated with Auction | High correlation |
Auction is highly correlated with VNST | High correlation |
Make is highly correlated with TopThreeAmericanName and 1 other fields | High correlation |
WheelType is highly correlated with WheelTypeID | High correlation |
Auction is highly correlated with VNST | High correlation |
VehYear is highly correlated with VehicleAge | High correlation |
VehicleAge is highly correlated with VehYear and 6 other fields | High correlation |
Make is highly correlated with Nationality and 3 other fields | High correlation |
WheelTypeID is highly correlated with WheelType | High correlation |
WheelType is highly correlated with WheelTypeID and 1 other fields | High correlation |
Nationality is highly correlated with Make and 1 other fields | High correlation |
Size is highly correlated with Make and 3 other fields | High correlation |
TopThreeAmericanName is highly correlated with Make and 2 other fields | High correlation |
MMRAcquisitionAuctionAveragePrice is highly correlated with VehicleAge and 8 other fields | High correlation |
MMRAcquisitionAuctionCleanPrice is highly correlated with VehicleAge and 8 other fields | High correlation |
MMRAcquisitionRetailAveragePrice is highly correlated with MMRAcquisitionAuctionAveragePrice and 7 other fields | High correlation |
MMRAcquisitonRetailCleanPrice is highly correlated with MMRAcquisitionAuctionAveragePrice and 7 other fields | High correlation |
MMRCurrentAuctionAveragePrice is highly correlated with VehicleAge and 9 other fields | High correlation |
MMRCurrentAuctionCleanPrice is highly correlated with VehicleAge and 8 other fields | High correlation |
MMRCurrentRetailAveragePrice is highly correlated with VehicleAge and 8 other fields | High correlation |
MMRCurrentRetailCleanPrice is highly correlated with MMRAcquisitionAuctionAveragePrice and 7 other fields | High correlation |
PRIMEUNIT is highly correlated with MMRCurrentAuctionAveragePrice and 1 other fields | High correlation |
BYRNO is highly correlated with VehicleAge and 2 other fields | High correlation |
VNZIP1 is highly correlated with BYRNO and 1 other fields | High correlation |
VNST is highly correlated with Auction and 2 other fields | High correlation |
VehBCost is highly correlated with MMRAcquisitionAuctionAveragePrice and 8 other fields | High correlation |
WarrantyCost is highly correlated with Make and 1 other fields | High correlation |
pMonth is highly correlated with season | High correlation |
season is highly correlated with pMonth | High correlation |
Trim has 2360 (3.2%) missing values | Missing |
WheelTypeID has 3169 (4.3%) missing values | Missing |
WheelType has 3174 (4.3%) missing values | Missing |
PRIMEUNIT has 69564 (95.3%) missing values | Missing |
AUCGUART has 69564 (95.3%) missing values | Missing |
MMRAcquisitionAuctionAveragePrice has 828 (1.1%) zeros | Zeros |
MMRAcquisitionRetailAveragePrice has 828 (1.1%) zeros | Zeros |
MMRAcquisitonRetailCleanPrice has 828 (1.1%) zeros | Zeros |
Reproduction
| Analysis started | 2022-06-09 15:16:06.598608 |
|---|---|
| Analysis finished | 2022-06-09 15:16:53.124054 |
| Duration | 46.53 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
IsBadBuy
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 570.3 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 64007 | |
| 1 | 8976 | 12.3% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 64007 | |
| 1 | 8976 | 12.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 517 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 570.3 KiB |
| 2010-11-23 | 384 |
|---|---|
| 2009-02-25 | 379 |
| 2010-12-08 | 372 |
| 2010-10-13 | 359 |
| 2009-08-26 | 359 |
| Other values (512) |
Length
| Max length | 10 |
|---|---|
| Median length | 10 |
| Mean length | 10 |
| Min length | 10 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 3 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | 2009-12-07 |
|---|---|
| 2nd row | 2009-12-07 |
| 3rd row | 2009-12-07 |
| 4th row | 2009-12-07 |
| 5th row | 2009-12-07 |
Common Values
| Value | Count | Frequency (%) |
| 2010-11-23 | 384 | 0.5% |
| 2009-02-25 | 379 | 0.5% |
| 2010-12-08 | 372 | 0.5% |
| 2010-10-13 | 359 | 0.5% |
| 2009-08-26 | 359 | 0.5% |
| 2010-11-03 | 357 | 0.5% |
| 2009-02-18 | 357 | 0.5% |
| 2010-11-17 | 343 | 0.5% |
| 2010-01-21 | 335 | 0.5% |
| 2010-10-20 | 329 | 0.5% |
| Other values (507) | 69409 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 2010-11-23 | 384 | 0.5% |
| 2009-02-25 | 379 | 0.5% |
| 2010-12-08 | 372 | 0.5% |
| 2010-10-13 | 359 | 0.5% |
| 2009-08-26 | 359 | 0.5% |
| 2010-11-03 | 357 | 0.5% |
| 2009-02-18 | 357 | 0.5% |
| 2010-11-17 | 343 | 0.5% |
| 2010-01-21 | 335 | 0.5% |
| 2010-10-20 | 329 | 0.5% |
| Other values (507) | 69409 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 570.3 KiB |
| MANHEIM | |
|---|---|
| OTHER | |
| ADESA |
Length
| Max length | 7 |
|---|---|
| Median length | 7 |
| Mean length | 6.124727676 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | ADESA |
|---|---|
| 2nd row | ADESA |
| 3rd row | ADESA |
| 4th row | ADESA |
| 5th row | ADESA |
Common Values
| Value | Count | Frequency (%) |
| MANHEIM | 41043 | |
| OTHER | 17501 | |
| ADESA | 14439 | 19.8% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| manheim | 41043 | |
| other | 17501 | |
| adesa | 14439 | 19.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 10 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2005.343052 |
| Minimum | 2001 |
|---|---|
| Maximum | 2010 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 570.3 KiB |
Quantile statistics
| Minimum | 2001 |
|---|---|
| 5-th percentile | 2002 |
| Q1 | 2004 |
| median | 2005 |
| Q3 | 2007 |
| 95-th percentile | 2008 |
| Maximum | 2010 |
| Range | 9 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 1.731251606 |
|---|---|
| Coefficient of variation (CV) | 0.0008633194224 |
| Kurtosis | -0.3258624512 |
| Mean | 2005.343052 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | -0.337361228 |
| Sum | 146355952 |
| Variance | 2.997232123 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 2006 | 17043 | |
| 2005 | 15489 | |
| 2007 | 11423 | |
| 2004 | 10207 | |
| 2008 | 6885 | |
| 2003 | 6227 | 8.5% |
| 2002 | 3405 | 4.7% |
| 2001 | 1481 | 2.0% |
| 2009 | 822 | 1.1% |
| 2010 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 2001 | 1481 | 2.0% |
| 2002 | 3405 | 4.7% |
| 2003 | 6227 | 8.5% |
| 2004 | 10207 | |
| 2005 | 15489 | |
| 2006 | 17043 | |
| 2007 | 11423 | |
| 2008 | 6885 | |
| 2009 | 822 | 1.1% |
| 2010 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 2010 | 1 | < 0.1% |
| 2009 | 822 | 1.1% |
| 2008 | 6885 | |
| 2007 | 11423 | |
| 2006 | 17043 | |
| 2005 | 15489 | |
| 2004 | 10207 | |
| 2003 | 6227 | 8.5% |
| 2002 | 3405 | 4.7% |
| 2001 | 1481 | 2.0% |
| Distinct | 10 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.176643876 |
| Minimum | 0 |
|---|---|
| Maximum | 9 |
| Zeros | 2 |
| Zeros (%) | < 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 570.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 3 |
| median | 4 |
| Q3 | 5 |
| 95-th percentile | 7 |
| Maximum | 9 |
| Range | 9 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.712210288 |
|---|---|
| Coefficient of variation (CV) | 0.4099488342 |
| Kurtosis | -0.2092717782 |
| Mean | 4.176643876 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.3936160141 |
| Sum | 304824 |
| Variance | 2.93166407 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 4 | 17013 | |
| 3 | 15902 | |
| 5 | 12956 | |
| 2 | 8482 | |
| 6 | 8022 | |
| 7 | 4646 | 6.4% |
| 1 | 3094 | 4.2% |
| 8 | 2220 | 3.0% |
| 9 | 646 | 0.9% |
| 0 | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 2 | < 0.1% |
| 1 | 3094 | 4.2% |
| 2 | 8482 | |
| 3 | 15902 | |
| 4 | 17013 | |
| 5 | 12956 | |
| 6 | 8022 | |
| 7 | 4646 | 6.4% |
| 8 | 2220 | 3.0% |
| 9 | 646 | 0.9% |
| Value | Count | Frequency (%) |
| 9 | 646 | 0.9% |
| 8 | 2220 | 3.0% |
| 7 | 4646 | 6.4% |
| 6 | 8022 | |
| 5 | 12956 | |
| 4 | 17013 | |
| 3 | 15902 | |
| 2 | 8482 | |
| 1 | 3094 | 4.2% |
| 0 | 2 | < 0.1% |
| Distinct | 33 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 570.3 KiB |
| CHEVROLET | |
|---|---|
| DODGE | |
| FORD | |
| CHRYSLER | |
| PONTIAC | |
| Other values (28) |
Length
| Max length | 12 |
|---|---|
| Median length | 6 |
| Mean length | 6.431360728 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 2 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | MAZDA |
|---|---|
| 2nd row | DODGE |
| 3rd row | DODGE |
| 4th row | DODGE |
| 5th row | FORD |
Common Values
| Value | Count | Frequency (%) |
| CHEVROLET | 17248 | |
| DODGE | 12912 | |
| FORD | 11305 | |
| CHRYSLER | 8844 | |
| PONTIAC | 4258 | 5.8% |
| KIA | 2484 | 3.4% |
| SATURN | 2163 | 3.0% |
| NISSAN | 2085 | 2.9% |
| HYUNDAI | 1811 | 2.5% |
| JEEP | 1644 | 2.3% |
| Other values (23) | 8229 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| chevrolet | 17248 | |
| dodge | 12912 | |
| ford | 11305 | |
| chrysler | 8844 | |
| pontiac | 4258 | 5.8% |
| kia | 2484 | 3.4% |
| saturn | 2163 | 3.0% |
| nissan | 2085 | 2.9% |
| hyundai | 1811 | 2.5% |
| jeep | 1644 | 2.3% |
| Other values (22) | 8230 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 1063 |
|---|---|
| Distinct (%) | 1.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 570.3 KiB |
| PT CRUISER | 2329 |
|---|---|
| IMPALA | 1990 |
| TAURUS | 1425 |
| CALIBER | 1375 |
| CARAVAN GRAND FWD V6 | 1289 |
| Other values (1058) |
Length
| Max length | 20 |
|---|---|
| Median length | 15 |
| Mean length | 13.72755299 |
| Min length | 2 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 161 ? |
|---|---|
| Unique (%) | 0.2% |
Sample
| 1st row | MAZDA3 |
|---|---|
| 2nd row | 1500 RAM PICKUP 2WD |
| 3rd row | STRATUS V6 |
| 4th row | NEON |
| 5th row | FOCUS |
Common Values
| Value | Count | Frequency (%) |
| PT CRUISER | 2329 | 3.2% |
| IMPALA | 1990 | 2.7% |
| TAURUS | 1425 | 2.0% |
| CALIBER | 1375 | 1.9% |
| CARAVAN GRAND FWD V6 | 1289 | 1.8% |
| MALIBU 4C | 1225 | 1.7% |
| TAURUS 3.0L V6 EFI | 1160 | 1.6% |
| SEBRING 4C | 1157 | 1.6% |
| COBALT | 1106 | 1.5% |
| PT CRUISER 2.4L I4 S | 1104 | 1.5% |
| Other values (1053) | 58823 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| v6 | 28571 | 13.1% |
| 4c | 11229 | 5.2% |
| 2wd | 11009 | 5.1% |
| i4 | 9070 | 4.2% |
| fwd | 7197 | 3.3% |
| impala | 4784 | 2.2% |
| grand | 4222 | 1.9% |
| 2.4l | 3777 | 1.7% |
| cruiser | 3729 | 1.7% |
| pt | 3728 | 1.7% |
| Other values (378) | 130515 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 134 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 2360 |
| Missing (%) | 3.2% |
| Memory size | 570.3 KiB |
| Bas | |
|---|---|
| LS | |
| SE | |
| SXT | |
| LT | |
| Other values (129) |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 2.46630701 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 10 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | i |
|---|---|
| 2nd row | ST |
| 3rd row | SXT |
| 4th row | SXT |
| 5th row | ZX3 |
Common Values
| Value | Count | Frequency (%) |
| Bas | 13950 | |
| LS | 10174 | |
| SE | 9348 | |
| SXT | 3825 | 5.2% |
| LT | 3540 | 4.9% |
| LX | 2417 | 3.3% |
| Tou | 2256 | 3.1% |
| EX | 2120 | 2.9% |
| SEL | 1360 | 1.9% |
| XLT | 1357 | 1.9% |
| Other values (124) | 20276 | |
| (Missing) | 2360 | 3.2% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| bas | 13950 | |
| ls | 10174 | |
| se | 9355 | |
| sxt | 3825 | 5.4% |
| lt | 3540 | 5.0% |
| lx | 2417 | 3.4% |
| tou | 2256 | 3.2% |
| ex | 2128 | 3.0% |
| sel | 1360 | 1.9% |
| xlt | 1357 | 1.9% |
| Other values (120) | 20269 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 863 |
|---|---|
| Distinct (%) | 1.2% |
| Missing | 8 |
| Missing (%) | < 0.1% |
| Memory size | 570.3 KiB |
| 4D SEDAN | |
|---|---|
| 4D SEDAN LS | |
| 4D SEDAN SE | 3859 |
| 4D WAGON | 2230 |
| MINIVAN 3.3L | 1258 |
| Other values (858) |
Length
| Max length | 32 |
|---|---|
| Median length | 11 |
| Mean length | 12.20298732 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 161 ? |
|---|---|
| Unique (%) | 0.2% |
Sample
| 1st row | 4D SEDAN I |
|---|---|
| 2nd row | QUAD CAB 4.7L SLT |
| 3rd row | 4D SEDAN SXT FFV |
| 4th row | 4D SEDAN |
| 5th row | 2D COUPE ZX3 |
Common Values
| Value | Count | Frequency (%) |
| 4D SEDAN | 15236 | 20.9% |
| 4D SEDAN LS | 4718 | 6.5% |
| 4D SEDAN SE | 3859 | 5.3% |
| 4D WAGON | 2230 | 3.1% |
| MINIVAN 3.3L | 1258 | 1.7% |
| 4D SUV 4.2L LS | 1193 | 1.6% |
| 4D SEDAN LT | 1129 | 1.5% |
| 4D SEDAN SXT FFV | 1094 | 1.5% |
| 2D COUPE | 1072 | 1.5% |
| 4D SEDAN LX | 1068 | 1.5% |
| Other values (853) | 40118 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 4d | 59830 | |
| sedan | 42228 | |
| ls | 9143 | 4.2% |
| suv | 8391 | 3.9% |
| se | 5949 | 2.7% |
| wagon | 4162 | 1.9% |
| cab | 3908 | 1.8% |
| sport | 3538 | 1.6% |
| ffv | 3394 | 1.6% |
| 2d | 3354 | 1.5% |
| Other values (263) | 72555 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
Color
Categorical
| Distinct | 16 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 8 |
| Missing (%) | < 0.1% |
| Memory size | 570.3 KiB |
| SILVER | |
|---|---|
| WHITE | |
| BLUE | |
| GREY | |
| BLACK | |
| Other values (11) |
Length
| Max length | 9 |
|---|---|
| Median length | 5 |
| Mean length | 4.758136348 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | RED |
|---|---|
| 2nd row | WHITE |
| 3rd row | MAROON |
| 4th row | SILVER |
| 5th row | SILVER |
Common Values
| Value | Count | Frequency (%) |
| SILVER | 14875 | |
| WHITE | 12123 | |
| BLUE | 10347 | |
| GREY | 7887 | |
| BLACK | 7627 | |
| RED | 6257 | |
| GOLD | 5231 | 7.2% |
| GREEN | 3194 | 4.4% |
| MAROON | 2046 | 2.8% |
| BEIGE | 1584 | 2.2% |
| Other values (6) | 1804 | 2.5% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| silver | 14875 | |
| white | 12123 | |
| blue | 10347 | |
| grey | 7887 | |
| black | 7627 | |
| red | 6257 | |
| gold | 5231 | 7.2% |
| green | 3194 | 4.4% |
| maroon | 2046 | 2.8% |
| beige | 1584 | 2.2% |
| Other values (7) | 1898 | 2.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
Transmission
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 9 |
| Missing (%) | < 0.1% |
| Memory size | 570.3 KiB |
| AUTO | |
|---|---|
| MANUAL | 2575 |
| Manual | 1 |
Length
| Max length | 6 |
|---|---|
| Median length | 4 |
| Mean length | 4.070600488 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | AUTO |
|---|---|
| 2nd row | AUTO |
| 3rd row | AUTO |
| 4th row | AUTO |
| 5th row | MANUAL |
Common Values
| Value | Count | Frequency (%) |
| AUTO | 70398 | |
| MANUAL | 2575 | 3.5% |
| Manual | 1 | < 0.1% |
| (Missing) | 9 | < 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| auto | 70398 | |
| manual | 2576 | 3.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 3169 |
| Missing (%) | 4.3% |
| Memory size | 570.3 KiB |
| 1.0 | |
|---|---|
| 2.0 | |
| 3.0 | 755 |
| 0.0 | 5 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1.0 |
|---|---|
| 2nd row | 1.0 |
| 3rd row | 2.0 |
| 4th row | 1.0 |
| 5th row | 2.0 |
Common Values
| Value | Count | Frequency (%) |
| 1.0 | 36050 | |
| 2.0 | 33004 | |
| 3.0 | 755 | 1.0% |
| 0.0 | 5 | < 0.1% |
| (Missing) | 3169 | 4.3% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1.0 | 36050 | |
| 2.0 | 33004 | |
| 3.0 | 755 | 1.1% |
| 0.0 | 5 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 3174 |
| Missing (%) | 4.3% |
| Memory size | 570.3 KiB |
| Alloy | |
|---|---|
| Covers | |
| Special | 755 |
Length
| Max length | 7 |
|---|---|
| Median length | 5 |
| Mean length | 5.494406165 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Alloy |
|---|---|
| 2nd row | Alloy |
| 3rd row | Covers |
| 4th row | Alloy |
| 5th row | Covers |
Common Values
| Value | Count | Frequency (%) |
| Alloy | 36050 | |
| Covers | 33004 | |
| Special | 755 | 1.0% |
| (Missing) | 3174 | 4.3% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| alloy | 36050 | |
| covers | 33004 | |
| special | 755 | 1.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
VehOdo
Real number (ℝ≥0)
| Distinct | 39947 |
|---|---|
| Distinct (%) | 54.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 71499.99592 |
| Minimum | 4825 |
|---|---|
| Maximum | 115717 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 570.3 KiB |
Quantile statistics
| Minimum | 4825 |
|---|---|
| 5-th percentile | 45477 |
| Q1 | 61837 |
| median | 73361 |
| Q3 | 82436 |
| 95-th percentile | 92521.8 |
| Maximum | 115717 |
| Range | 110892 |
| Interquartile range (IQR) | 20599 |
Descriptive statistics
| Standard deviation | 14578.91313 |
|---|---|
| Coefficient of variation (CV) | 0.2039008946 |
| Kurtosis | -0.1987398752 |
| Mean | 71499.99592 |
| Median Absolute Deviation (MAD) | 10099 |
| Skewness | -0.4531454298 |
| Sum | 5218284202 |
| Variance | 212544708 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 75009 | 10 | < 0.1% |
| 77995 | 10 | < 0.1% |
| 75371 | 9 | < 0.1% |
| 71225 | 9 | < 0.1% |
| 79015 | 9 | < 0.1% |
| 67464 | 9 | < 0.1% |
| 85884 | 8 | < 0.1% |
| 75786 | 8 | < 0.1% |
| 88958 | 8 | < 0.1% |
| 71823 | 8 | < 0.1% |
| Other values (39937) | 72895 |
| Value | Count | Frequency (%) |
| 4825 | 1 | |
| 5368 | 1 | |
| 8706 | 1 | |
| 9446 | 1 | |
| 9878 | 1 | |
| 10095 | 1 | |
| 10643 | 1 | |
| 11662 | 1 | |
| 12628 | 1 | |
| 12926 | 1 |
| Value | Count | Frequency (%) |
| 115717 | 1 | |
| 115026 | 1 | |
| 114184 | 1 | |
| 113617 | 1 | |
| 112056 | 1 | |
| 112029 | 1 | |
| 110318 | 1 | |
| 110119 | 1 | |
| 110071 | 1 | |
| 110055 | 1 |
| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 5 |
| Missing (%) | < 0.1% |
| Memory size | 570.3 KiB |
| AMERICAN | |
|---|---|
| OTHER ASIAN | |
| TOP LINE ASIAN | 3722 |
| OTHER | 195 |
Length
| Max length | 14 |
|---|---|
| Median length | 8 |
| Mean length | 8.628216723 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | OTHER ASIAN |
|---|---|
| 2nd row | AMERICAN |
| 3rd row | AMERICAN |
| 4th row | AMERICAN |
| 5th row | AMERICAN |
Common Values
| Value | Count | Frequency (%) |
| AMERICAN | 61028 | |
| OTHER ASIAN | 8033 | 11.0% |
| TOP LINE ASIAN | 3722 | 5.1% |
| OTHER | 195 | 0.3% |
| (Missing) | 5 | < 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| american | 61028 | |
| asian | 11755 | 13.3% |
| other | 8228 | 9.3% |
| top | 3722 | 4.2% |
| line | 3722 | 4.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 12 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 5 |
| Missing (%) | < 0.1% |
| Memory size | 570.3 KiB |
| MEDIUM | |
|---|---|
| LARGE | |
| MEDIUM SUV | |
| COMPACT | |
| VAN | |
| Other values (7) |
Length
| Max length | 11 |
|---|---|
| Median length | 6 |
| Mean length | 6.760119488 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | MEDIUM |
|---|---|
| 2nd row | LARGE TRUCK |
| 3rd row | MEDIUM |
| 4th row | COMPACT |
| 5th row | COMPACT |
Common Values
| Value | Count | Frequency (%) |
| MEDIUM | 30785 | |
| LARGE | 8850 | 12.1% |
| MEDIUM SUV | 8090 | 11.1% |
| COMPACT | 7205 | 9.9% |
| VAN | 5854 | 8.0% |
| LARGE TRUCK | 3170 | 4.3% |
| SMALL SUV | 2276 | 3.1% |
| SPECIALTY | 1915 | 2.6% |
| CROSSOVER | 1759 | 2.4% |
| LARGE SUV | 1433 | 2.0% |
| Other values (2) | 1641 | 2.2% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| medium | 38875 | |
| large | 13453 | 15.1% |
| suv | 11799 | 13.3% |
| compact | 7205 | 8.1% |
| van | 5854 | 6.6% |
| truck | 4034 | 4.5% |
| small | 3140 | 3.5% |
| specialty | 1915 | 2.2% |
| crossover | 1759 | 2.0% |
| sports | 777 | 0.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 5 |
| Missing (%) | < 0.1% |
| Memory size | 570.3 KiB |
| GM | |
|---|---|
| CHRYSLER | |
| FORD | |
| OTHER |
Length
| Max length | 8 |
|---|---|
| Median length | 4 |
| Mean length | 4.752528159 |
| Min length | 2 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | OTHER |
|---|---|
| 2nd row | CHRYSLER |
| 3rd row | CHRYSLER |
| 4th row | CHRYSLER |
| 5th row | FORD |
Common Values
| Value | Count | Frequency (%) |
| GM | 25314 | |
| CHRYSLER | 23399 | |
| FORD | 12315 | |
| OTHER | 11950 | |
| (Missing) | 5 | < 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| gm | 25314 | |
| chrysler | 23399 | |
| ford | 12315 | |
| other | 11950 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
MMRAcquisitionAuctionAveragePrice
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONZEROS| Distinct | 10342 |
|---|---|
| Distinct (%) | 14.2% |
| Missing | 18 |
| Missing (%) | < 0.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6128.909217 |
| Minimum | 0 |
|---|---|
| Maximum | 35722 |
| Zeros | 828 |
| Zeros (%) | 1.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 570.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2583 |
| Q1 | 4273 |
| median | 6097 |
| Q3 | 7765 |
| 95-th percentile | 10244 |
| Maximum | 35722 |
| Range | 35722 |
| Interquartile range (IQR) | 3492 |
Descriptive statistics
| Standard deviation | 2461.992768 |
|---|---|
| Coefficient of variation (CV) | 0.4017016212 |
| Kurtosis | 1.593727547 |
| Mean | 6128.909217 |
| Median Absolute Deviation (MAD) | 1743 |
| Skewness | 0.4636405627 |
| Sum | 447195861 |
| Variance | 6061408.392 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 828 | 1.1% |
| 5480 | 368 | 0.5% |
| 5569 | 233 | 0.3% |
| 6311 | 174 | 0.2% |
| 6858 | 137 | 0.2% |
| 7644 | 121 | 0.2% |
| 4573 | 110 | 0.2% |
| 8196 | 103 | 0.1% |
| 6892 | 93 | 0.1% |
| 7048 | 91 | 0.1% |
| Other values (10332) | 70707 |
| Value | Count | Frequency (%) |
| 0 | 828 | |
| 884 | 1 | < 0.1% |
| 889 | 1 | < 0.1% |
| 966 | 1 | < 0.1% |
| 1004 | 1 | < 0.1% |
| 1010 | 1 | < 0.1% |
| 1027 | 1 | < 0.1% |
| 1064 | 1 | < 0.1% |
| 1097 | 1 | < 0.1% |
| 1120 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 35722 | 1 | |
| 33543 | 1 | |
| 32250 | 1 | |
| 32063 | 1 | |
| 28354 | 1 | |
| 28077 | 1 | |
| 27680 | 1 | |
| 25033 | 1 | |
| 23581 | 1 | |
| 23031 | 1 |
MMRAcquisitionAuctionCleanPrice
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 11379 |
|---|---|
| Distinct (%) | 15.6% |
| Missing | 18 |
| Missing (%) | < 0.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7373.636031 |
| Minimum | 0 |
|---|---|
| Maximum | 36859 |
| Zeros | 697 |
| Zeros (%) | 1.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 570.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 3500 |
| Q1 | 5406 |
| median | 7303 |
| Q3 | 9021 |
| 95-th percentile | 12030.8 |
| Maximum | 36859 |
| Range | 36859 |
| Interquartile range (IQR) | 3615 |
Descriptive statistics
| Standard deviation | 2722.491986 |
|---|---|
| Coefficient of variation (CV) | 0.369219741 |
| Kurtosis | 1.651146564 |
| Mean | 7373.636031 |
| Median Absolute Deviation (MAD) | 1792 |
| Skewness | 0.4665008675 |
| Sum | 538017353 |
| Variance | 7411962.611 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 697 | 1.0% |
| 6461 | 374 | 0.5% |
| 6584 | 225 | 0.3% |
| 7450 | 179 | 0.2% |
| 8107 | 133 | 0.2% |
| 1 | 131 | 0.2% |
| 8892 | 122 | 0.2% |
| 9044 | 109 | 0.1% |
| 5967 | 96 | 0.1% |
| 7614 | 89 | 0.1% |
| Other values (11369) | 70810 |
| Value | Count | Frequency (%) |
| 0 | 697 | |
| 1 | 131 | 0.2% |
| 1076 | 1 | < 0.1% |
| 1240 | 1 | < 0.1% |
| 1397 | 1 | < 0.1% |
| 1437 | 1 | < 0.1% |
| 1535 | 1 | < 0.1% |
| 1587 | 1 | < 0.1% |
| 1610 | 1 | < 0.1% |
| 1634 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 36859 | 1 | |
| 36701 | 1 | |
| 35215 | 1 | |
| 35108 | 1 | |
| 30408 | 1 | |
| 30114 | 1 | |
| 29498 | 1 | |
| 28053 | 1 | |
| 26763 | 1 | |
| 25681 | 1 |
MMRAcquisitionRetailAveragePrice
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONZEROS| Distinct | 12725 |
|---|---|
| Distinct (%) | 17.4% |
| Missing | 18 |
| Missing (%) | < 0.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 8497.034332 |
| Minimum | 0 |
|---|---|
| Maximum | 39080 |
| Zeros | 828 |
| Zeros (%) | 1.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 570.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 3617.2 |
| Q1 | 6280 |
| median | 8444 |
| Q3 | 10651 |
| 95-th percentile | 13742 |
| Maximum | 39080 |
| Range | 39080 |
| Interquartile range (IQR) | 4371 |
Descriptive statistics
| Standard deviation | 3156.285284 |
|---|---|
| Coefficient of variation (CV) | 0.3714572827 |
| Kurtosis | 0.680599336 |
| Mean | 8497.034332 |
| Median Absolute Deviation (MAD) | 2188 |
| Skewness | 0.2092142255 |
| Sum | 619986110 |
| Variance | 9962136.791 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 828 | 1.1% |
| 6418 | 369 | 0.5% |
| 6515 | 230 | 0.3% |
| 7316 | 175 | 0.2% |
| 7907 | 136 | 0.2% |
| 8756 | 126 | 0.2% |
| 9352 | 103 | 0.1% |
| 5439 | 96 | 0.1% |
| 11114 | 87 | 0.1% |
| 7943 | 86 | 0.1% |
| Other values (12715) | 70729 |
| Value | Count | Frequency (%) |
| 0 | 828 | |
| 1455 | 1 | < 0.1% |
| 1543 | 1 | < 0.1% |
| 1584 | 1 | < 0.1% |
| 1591 | 1 | < 0.1% |
| 1609 | 1 | < 0.1% |
| 1649 | 1 | < 0.1% |
| 1738 | 1 | < 0.1% |
| 1781 | 1 | < 0.1% |
| 1801 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 39080 | 1 | |
| 37885 | 1 | |
| 36726 | 1 | |
| 35330 | 1 | |
| 33872 | 1 | |
| 31599 | 1 | |
| 30196 | 1 | |
| 30048 | 1 | |
| 29269 | 1 | |
| 27295 | 1 |
MMRAcquisitonRetailCleanPrice
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONZEROS| Distinct | 13456 |
|---|---|
| Distinct (%) | 18.4% |
| Missing | 18 |
| Missing (%) | < 0.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9850.92824 |
| Minimum | 0 |
|---|---|
| Maximum | 41482 |
| Zeros | 828 |
| Zeros (%) | 1.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 570.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 4646.2 |
| Q1 | 7493 |
| median | 9789 |
| Q3 | 12088 |
| 95-th percentile | 15454.8 |
| Maximum | 41482 |
| Range | 41482 |
| Interquartile range (IQR) | 4595 |
Descriptive statistics
| Standard deviation | 3385.789541 |
|---|---|
| Coefficient of variation (CV) | 0.3437025891 |
| Kurtosis | 0.9248267411 |
| Mean | 9850.92824 |
| Median Absolute Deviation (MAD) | 2299 |
| Skewness | 0.1762997563 |
| Sum | 718772979 |
| Variance | 11463570.82 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 828 | 1.1% |
| 7478 | 373 | 0.5% |
| 7611 | 225 | 0.3% |
| 8546 | 171 | 0.2% |
| 9256 | 132 | 0.2% |
| 10103 | 113 | 0.2% |
| 10268 | 108 | 0.1% |
| 6944 | 95 | 0.1% |
| 11562 | 83 | 0.1% |
| 9613 | 82 | 0.1% |
| Other values (13446) | 70755 |
| Value | Count | Frequency (%) |
| 0 | 828 | |
| 1662 | 1 | < 0.1% |
| 2009 | 1 | < 0.1% |
| 2239 | 1 | < 0.1% |
| 2265 | 1 | < 0.1% |
| 2267 | 1 | < 0.1% |
| 2274 | 1 | < 0.1% |
| 2284 | 1 | < 0.1% |
| 2400 | 1 | < 0.1% |
| 2401 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 41482 | 1 | |
| 40308 | 1 | |
| 40137 | 1 | |
| 38532 | 1 | |
| 36096 | 1 | |
| 33988 | 1 | |
| 33736 | 1 | |
| 32760 | 1 | |
| 32383 | 1 | |
| 29981 | 1 |
MMRCurrentAuctionAveragePrice
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 10315 |
|---|---|
| Distinct (%) | 14.2% |
| Missing | 315 |
| Missing (%) | 0.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6132.081287 |
| Minimum | 0 |
|---|---|
| Maximum | 35722 |
| Zeros | 504 |
| Zeros (%) | 0.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 570.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2617 |
| Q1 | 4275 |
| median | 6062 |
| Q3 | 7736 |
| 95-th percentile | 10245.65 |
| Maximum | 35722 |
| Range | 35722 |
| Interquartile range (IQR) | 3461 |
Descriptive statistics
| Standard deviation | 2434.567723 |
|---|---|
| Coefficient of variation (CV) | 0.3970214368 |
| Kurtosis | 1.52993942 |
| Mean | 6132.081287 |
| Median Absolute Deviation (MAD) | 1726 |
| Skewness | 0.52258321 |
| Sum | 445606083 |
| Variance | 5927119.998 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 504 | 0.7% |
| 5480 | 280 | 0.4% |
| 5569 | 198 | 0.3% |
| 6311 | 142 | 0.2% |
| 8186 | 129 | 0.2% |
| 7269 | 126 | 0.2% |
| 6858 | 117 | 0.2% |
| 7644 | 101 | 0.1% |
| 8196 | 95 | 0.1% |
| 8033 | 84 | 0.1% |
| Other values (10305) | 70892 | |
| (Missing) | 315 | 0.4% |
| Value | Count | Frequency (%) |
| 0 | 504 | |
| 369 | 1 | < 0.1% |
| 430 | 1 | < 0.1% |
| 433 | 1 | < 0.1% |
| 665 | 2 | < 0.1% |
| 727 | 1 | < 0.1% |
| 733 | 1 | < 0.1% |
| 740 | 1 | < 0.1% |
| 799 | 1 | < 0.1% |
| 806 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 35722 | 1 | |
| 33369 | 1 | |
| 32250 | 1 | |
| 31127 | 1 | |
| 28099 | 1 | |
| 27795 | 1 | |
| 27543 | 1 | |
| 23400 | 1 | |
| 23015 | 1 | |
| 21940 | 1 |
MMRCurrentAuctionCleanPrice
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 11265 |
|---|---|
| Distinct (%) | 15.5% |
| Missing | 315 |
| Missing (%) | 0.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7390.681827 |
| Minimum | 0 |
|---|---|
| Maximum | 36859 |
| Zeros | 378 |
| Zeros (%) | 0.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 570.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 3540 |
| Q1 | 5414 |
| median | 7313 |
| Q3 | 9013 |
| 95-th percentile | 12032.3 |
| Maximum | 36859 |
| Range | 36859 |
| Interquartile range (IQR) | 3599 |
Descriptive statistics
| Standard deviation | 2686.248852 |
|---|---|
| Coefficient of variation (CV) | 0.3634642804 |
| Kurtosis | 1.565619526 |
| Mean | 7390.681827 |
| Median Absolute Deviation (MAD) | 1794 |
| Skewness | 0.5355246484 |
| Sum | 537066067 |
| Variance | 7215932.892 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 378 | 0.5% |
| 6461 | 284 | 0.4% |
| 6584 | 184 | 0.3% |
| 7450 | 140 | 0.2% |
| 8107 | 127 | 0.2% |
| 1 | 126 | 0.2% |
| 8892 | 103 | 0.1% |
| 9279 | 99 | 0.1% |
| 7898 | 99 | 0.1% |
| 9044 | 95 | 0.1% |
| Other values (11255) | 71033 | |
| (Missing) | 315 | 0.4% |
| Value | Count | Frequency (%) |
| 0 | 378 | |
| 1 | 126 | 0.2% |
| 494 | 1 | < 0.1% |
| 651 | 1 | < 0.1% |
| 793 | 1 | < 0.1% |
| 897 | 1 | < 0.1% |
| 1005 | 1 | < 0.1% |
| 1072 | 2 | < 0.1% |
| 1132 | 1 | < 0.1% |
| 1168 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 36859 | 1 | |
| 36478 | 1 | |
| 35215 | 1 | |
| 34798 | 1 | |
| 30136 | 1 | |
| 29811 | 1 | |
| 29042 | 1 | |
| 26462 | 1 | |
| 26168 | 1 | |
| 25847 | 1 |
MMRCurrentRetailAveragePrice
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 12493 |
|---|---|
| Distinct (%) | 17.2% |
| Missing | 315 |
| Missing (%) | 0.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 8775.723331 |
| Minimum | 0 |
|---|---|
| Maximum | 39080 |
| Zeros | 504 |
| Zeros (%) | 0.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 570.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 3901.35 |
| Q1 | 6536 |
| median | 8729 |
| Q3 | 10911 |
| 95-th percentile | 13853.65 |
| Maximum | 39080 |
| Range | 39080 |
| Interquartile range (IQR) | 4375 |
Descriptive statistics
| Standard deviation | 3090.702941 |
|---|---|
| Coefficient of variation (CV) | 0.3521878282 |
| Kurtosis | 0.6388495545 |
| Mean | 8775.723331 |
| Median Absolute Deviation (MAD) | 2188 |
| Skewness | 0.2013561618 |
| Sum | 637714263 |
| Variance | 9552444.669 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 504 | 0.7% |
| 6418 | 274 | 0.4% |
| 6515 | 184 | 0.3% |
| 7316 | 141 | 0.2% |
| 7907 | 118 | 0.2% |
| 11674 | 106 | 0.1% |
| 8756 | 103 | 0.1% |
| 9352 | 94 | 0.1% |
| 10834 | 92 | 0.1% |
| 5439 | 70 | 0.1% |
| Other values (12483) | 70982 | |
| (Missing) | 315 | 0.4% |
| Value | Count | Frequency (%) |
| 0 | 504 | |
| 899 | 1 | < 0.1% |
| 964 | 1 | < 0.1% |
| 968 | 1 | < 0.1% |
| 1218 | 2 | < 0.1% |
| 1285 | 1 | < 0.1% |
| 1292 | 1 | < 0.1% |
| 1299 | 1 | < 0.1% |
| 1363 | 1 | < 0.1% |
| 1370 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 39080 | 1 | |
| 38151 | 1 | |
| 36539 | 1 | |
| 35330 | 1 | |
| 32928 | 1 | |
| 31128 | 1 | |
| 29921 | 1 | |
| 29752 | 1 | |
| 28050 | 1 | |
| 27269 | 1 |
MMRCurrentRetailCleanPrice
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 13192 |
|---|---|
| Distinct (%) | 18.2% |
| Missing | 315 |
| Missing (%) | 0.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 10145.38531 |
| Minimum | 0 |
|---|---|
| Maximum | 41062 |
| Zeros | 504 |
| Zeros (%) | 0.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 570.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 4960 |
| Q1 | 7784 |
| median | 10103 |
| Q3 | 12309 |
| 95-th percentile | 15615 |
| Maximum | 41062 |
| Range | 41062 |
| Interquartile range (IQR) | 4525 |
Descriptive statistics
| Standard deviation | 3310.254351 |
|---|---|
| Coefficient of variation (CV) | 0.3262817772 |
| Kurtosis | 0.8470080707 |
| Mean | 10145.38531 |
| Median Absolute Deviation (MAD) | 2260 |
| Skewness | 0.1947799958 |
| Sum | 737244860 |
| Variance | 10957783.87 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 504 | 0.7% |
| 7478 | 279 | 0.4% |
| 7611 | 186 | 0.3% |
| 8546 | 137 | 0.2% |
| 9256 | 114 | 0.2% |
| 10103 | 104 | 0.1% |
| 10268 | 95 | 0.1% |
| 12864 | 90 | 0.1% |
| 11413 | 89 | 0.1% |
| 12387 | 77 | 0.1% |
| Other values (13182) | 70993 | |
| (Missing) | 315 | 0.4% |
| Value | Count | Frequency (%) |
| 0 | 504 | |
| 1034 | 1 | < 0.1% |
| 1203 | 1 | < 0.1% |
| 1356 | 1 | < 0.1% |
| 1469 | 1 | < 0.1% |
| 1585 | 1 | < 0.1% |
| 1658 | 2 | < 0.1% |
| 1723 | 1 | < 0.1% |
| 1814 | 1 | < 0.1% |
| 1838 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 41062 | 1 | |
| 40308 | 1 | |
| 39896 | 1 | |
| 38532 | 1 | |
| 35366 | 1 | |
| 33337 | 1 | |
| 33014 | 1 | |
| 31744 | 1 | |
| 31317 | 1 | |
| 30194 | 1 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 69564 |
| Missing (%) | 95.3% |
| Memory size | 142.7 KiB |
| False | 3357 |
|---|---|
| True | 62 |
| (Missing) |
| Value | Count | Frequency (%) |
| False | 3357 | 4.6% |
| True | 62 | 0.1% |
| (Missing) | 69564 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 69564 |
| Missing (%) | 95.3% |
| Memory size | 570.3 KiB |
| GREEN | |
|---|---|
| RED | 79 |
Length
| Max length | 5 |
|---|---|
| Median length | 5 |
| Mean length | 4.953787657 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | GREEN |
|---|---|
| 2nd row | GREEN |
| 3rd row | GREEN |
| 4th row | GREEN |
| 5th row | GREEN |
Common Values
| Value | Count | Frequency (%) |
| GREEN | 3340 | 4.6% |
| RED | 79 | 0.1% |
| (Missing) | 69564 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| green | 3340 | |
| red | 79 | 2.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 74 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 26345.84216 |
| Minimum | 835 |
|---|---|
| Maximum | 99761 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 570.3 KiB |
Quantile statistics
| Minimum | 835 |
|---|---|
| 5-th percentile | 1231 |
| Q1 | 17212 |
| median | 19662 |
| Q3 | 22808 |
| 95-th percentile | 99761 |
| Maximum | 99761 |
| Range | 98926 |
| Interquartile range (IQR) | 5596 |
Descriptive statistics
| Standard deviation | 25717.35122 |
|---|---|
| Coefficient of variation (CV) | 0.9761445873 |
| Kurtosis | 3.474184178 |
| Mean | 26345.84216 |
| Median Absolute Deviation (MAD) | 2450 |
| Skewness | 2.129224775 |
| Sum | 1922798598 |
| Variance | 661382153.7 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 99761 | 3943 | 5.4% |
| 18880 | 3588 | 4.9% |
| 835 | 2987 | 4.1% |
| 3453 | 2927 | 4.0% |
| 22916 | 2852 | 3.9% |
| 21053 | 2816 | 3.9% |
| 19619 | 2738 | 3.8% |
| 99750 | 2653 | 3.6% |
| 17675 | 2617 | 3.6% |
| 20928 | 2586 | 3.5% |
| Other values (64) | 43276 |
| Value | Count | Frequency (%) |
| 835 | 2987 | |
| 1031 | 31 | < 0.1% |
| 1035 | 10 | < 0.1% |
| 1041 | 8 | < 0.1% |
| 1045 | 62 | 0.1% |
| 1051 | 73 | 0.1% |
| 1055 | 12 | < 0.1% |
| 1081 | 37 | 0.1% |
| 1082 | 7 | < 0.1% |
| 1085 | 50 | 0.1% |
| Value | Count | Frequency (%) |
| 99761 | 3943 | |
| 99760 | 2 | < 0.1% |
| 99750 | 2653 | |
| 99741 | 1 | < 0.1% |
| 99740 | 343 | 0.5% |
| 53245 | 81 | 0.1% |
| 52646 | 347 | 0.5% |
| 52644 | 389 | 0.5% |
| 52598 | 587 | 0.8% |
| 52492 | 693 | 0.9% |
| Distinct | 153 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 58043.05995 |
| Minimum | 2764 |
|---|---|
| Maximum | 99224 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 570.3 KiB |
Quantile statistics
| Minimum | 2764 |
|---|---|
| 5-th percentile | 22801 |
| Q1 | 32124 |
| median | 73108 |
| Q3 | 80022 |
| 95-th percentile | 92807 |
| Maximum | 99224 |
| Range | 96460 |
| Interquartile range (IQR) | 47898 |
Descriptive statistics
| Standard deviation | 26151.64041 |
|---|---|
| Coefficient of variation (CV) | 0.4505558535 |
| Kurtosis | -1.688690677 |
| Mean | 58043.05995 |
| Median Absolute Deviation (MAD) | 21436 |
| Skewness | -0.1035322325 |
| Sum | 4236156644 |
| Variance | 683908296.4 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 32824 | 3699 | 5.1% |
| 27542 | 3402 | 4.7% |
| 75236 | 2431 | 3.3% |
| 74135 | 2321 | 3.2% |
| 80022 | 2118 | 2.9% |
| 85226 | 2086 | 2.9% |
| 85040 | 2012 | 2.8% |
| 29697 | 1999 | 2.7% |
| 95673 | 1970 | 2.7% |
| 28273 | 1887 | 2.6% |
| Other values (143) | 49058 |
| Value | Count | Frequency (%) |
| 2764 | 15 | < 0.1% |
| 3106 | 97 | 0.1% |
| 8505 | 317 | |
| 12552 | 6 | < 0.1% |
| 16066 | 6 | < 0.1% |
| 16137 | 2 | < 0.1% |
| 17028 | 33 | < 0.1% |
| 17406 | 139 | 0.2% |
| 17545 | 136 | 0.2% |
| 19440 | 531 |
| Value | Count | Frequency (%) |
| 99224 | 5 | < 0.1% |
| 98064 | 131 | 0.2% |
| 97402 | 11 | < 0.1% |
| 97217 | 136 | 0.2% |
| 97060 | 64 | 0.1% |
| 95673 | 1970 | |
| 94544 | 752 | 1.0% |
| 92807 | 1086 | |
| 92504 | 385 | 0.5% |
| 92337 | 811 |
| Distinct | 37 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 570.3 KiB |
| TX | |
|---|---|
| FL | |
| CA | |
| NC | |
| AZ | |
| Other values (32) |
Length
| Max length | 2 |
|---|---|
| Median length | 2 |
| Mean length | 2 |
| Min length | 2 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | FL |
|---|---|
| 2nd row | FL |
| 3rd row | FL |
| 4th row | FL |
| 5th row | FL |
Common Values
| Value | Count | Frequency (%) |
| TX | 13596 | |
| FL | 10447 | |
| CA | 7095 | |
| NC | 7042 | |
| AZ | 6174 | |
| CO | 4998 | 6.8% |
| SC | 4280 | 5.9% |
| OK | 3594 | 4.9% |
| GA | 2450 | 3.4% |
| TN | 1764 | 2.4% |
| Other values (27) | 11543 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| tx | 13596 | |
| fl | 10447 | |
| ca | 7095 | |
| nc | 7042 | |
| az | 6174 | |
| co | 4998 | 6.8% |
| sc | 4280 | 5.9% |
| ok | 3594 | 4.9% |
| ga | 2450 | 3.4% |
| tn | 1764 | 2.4% |
| Other values (27) | 11543 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 2010 |
|---|---|
| Distinct (%) | 2.8% |
| Missing | 68 |
| Missing (%) | 0.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6729.249949 |
| Minimum | 1 |
|---|---|
| Maximum | 45469 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 570.3 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 4030 |
| Q1 | 5430 |
| median | 6700 |
| Q3 | 7900 |
| 95-th percentile | 9775 |
| Maximum | 45469 |
| Range | 45468 |
| Interquartile range (IQR) | 2470 |
Descriptive statistics
| Standard deviation | 1764.962643 |
|---|---|
| Coefficient of variation (CV) | 0.2622822241 |
| Kurtosis | 8.084871664 |
| Mean | 6729.249949 |
| Median Absolute Deviation (MAD) | 1230 |
| Skewness | 0.7019715512 |
| Sum | 490663260 |
| Variance | 3115093.131 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 7500 | 777 | 1.1% |
| 6500 | 588 | 0.8% |
| 7200 | 586 | 0.8% |
| 6000 | 582 | 0.8% |
| 4200 | 553 | 0.8% |
| 7000 | 550 | 0.8% |
| 8000 | 541 | 0.7% |
| 7800 | 516 | 0.7% |
| 7100 | 460 | 0.6% |
| 7400 | 456 | 0.6% |
| Other values (2000) | 67306 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 225 | 1 | |
| 1400 | 1 | |
| 1620 | 1 | |
| 1720 | 1 | |
| 1915 | 1 | |
| 1920 | 1 | |
| 1960 | 2 | |
| 2000 | 1 | |
| 2010 | 2 |
| Value | Count | Frequency (%) |
| 45469 | 1 | |
| 38785 | 1 | |
| 36485 | 1 | |
| 35900 | 1 | |
| 32300 | 1 | |
| 29795 | 1 | |
| 28560 | 1 | |
| 28180 | 1 | |
| 20380 | 1 | |
| 20100 | 1 |
IsOnlineSale
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 570.3 KiB |
| 0 | |
|---|---|
| 1 | 1845 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 71138 | |
| 1 | 1845 | 2.5% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 71138 | |
| 1 | 1845 | 2.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 281 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1276.580985 |
| Minimum | 462 |
|---|---|
| Maximum | 7498 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 570.3 KiB |
Quantile statistics
| Minimum | 462 |
|---|---|
| 5-th percentile | 569 |
| Q1 | 837 |
| median | 1155 |
| Q3 | 1623 |
| 95-th percentile | 2198 |
| Maximum | 7498 |
| Range | 7036 |
| Interquartile range (IQR) | 786 |
Descriptive statistics
| Standard deviation | 598.8467882 |
|---|---|
| Coefficient of variation (CV) | 0.4691020745 |
| Kurtosis | 9.964807664 |
| Mean | 1276.580985 |
| Median Absolute Deviation (MAD) | 351 |
| Skewness | 2.070831169 |
| Sum | 93168710 |
| Variance | 358617.4757 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 920 | 2870 | 3.9% |
| 1974 | 2407 | 3.3% |
| 2152 | 2082 | 2.9% |
| 1389 | 2078 | 2.8% |
| 1215 | 2006 | 2.7% |
| 1155 | 1878 | 2.6% |
| 803 | 1690 | 2.3% |
| 728 | 1663 | 2.3% |
| 1503 | 1599 | 2.2% |
| 1086 | 1579 | 2.2% |
| Other values (271) | 53131 |
| Value | Count | Frequency (%) |
| 462 | 412 | 0.6% |
| 482 | 738 | |
| 505 | 1005 | |
| 522 | 17 | < 0.1% |
| 533 | 1174 | |
| 553 | 74 | 0.1% |
| 569 | 1393 | |
| 582 | 165 | 0.2% |
| 588 | 182 | 0.2% |
| 594 | 932 |
| Value | Count | Frequency (%) |
| 7498 | 1 | < 0.1% |
| 7198 | 1 | < 0.1% |
| 6819 | 2 | < 0.1% |
| 6519 | 1 | < 0.1% |
| 6492 | 2 | < 0.1% |
| 6208 | 2 | < 0.1% |
| 6192 | 2 | < 0.1% |
| 5913 | 36 | |
| 5908 | 2 | < 0.1% |
| 5613 | 35 |
| Distinct | 12 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6.608018306 |
| Minimum | 1 |
|---|---|
| Maximum | 12 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 570.3 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 4 |
| median | 7 |
| Q3 | 10 |
| 95-th percentile | 12 |
| Maximum | 12 |
| Range | 11 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 3.415753593 |
|---|---|
| Coefficient of variation (CV) | 0.5169104314 |
| Kurtosis | -1.250251544 |
| Mean | 6.608018306 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | -0.04871561071 |
| Sum | 482273 |
| Variance | 11.66737261 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 10 | 7178 | |
| 2 | 6839 | |
| 11 | 6675 | |
| 9 | 6511 | |
| 3 | 6257 | |
| 8 | 6139 | |
| 4 | 5935 | |
| 7 | 5876 | |
| 5 | 5760 | |
| 6 | 5675 | |
| Other values (2) | 10138 |
| Value | Count | Frequency (%) |
| 1 | 4770 | |
| 2 | 6839 | |
| 3 | 6257 | |
| 4 | 5935 | |
| 5 | 5760 | |
| 6 | 5675 | |
| 7 | 5876 | |
| 8 | 6139 | |
| 9 | 6511 | |
| 10 | 7178 |
| Value | Count | Frequency (%) |
| 12 | 5368 | |
| 11 | 6675 | |
| 10 | 7178 | |
| 9 | 6511 | |
| 8 | 6139 | |
| 7 | 5876 | |
| 6 | 5675 | |
| 5 | 5760 | |
| 4 | 5935 | |
| 3 | 6257 |
| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 570.3 KiB |
| fall | |
|---|---|
| spring | |
| summer | |
| winter |
Length
| Max length | 6 |
|---|---|
| Median length | 6 |
| Mean length | 5.441952235 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | winter |
|---|---|
| 2nd row | winter |
| 3rd row | winter |
| 4th row | winter |
| 5th row | winter |
Common Values
| Value | Count | Frequency (%) |
| fall | 20364 | |
| spring | 17952 | |
| summer | 17690 | |
| winter | 16977 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| fall | 20364 | |
| spring | 17952 | |
| summer | 17690 | |
| winter | 16977 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| IsBadBuy | PurchDate | Auction | VehYear | VehicleAge | Make | Model | Trim | SubModel | Color | Transmission | WheelTypeID | WheelType | VehOdo | Nationality | Size | TopThreeAmericanName | MMRAcquisitionAuctionAveragePrice | MMRAcquisitionAuctionCleanPrice | MMRAcquisitionRetailAveragePrice | MMRAcquisitonRetailCleanPrice | MMRCurrentAuctionAveragePrice | MMRCurrentAuctionCleanPrice | MMRCurrentRetailAveragePrice | MMRCurrentRetailCleanPrice | PRIMEUNIT | AUCGUART | BYRNO | VNZIP1 | VNST | VehBCost | IsOnlineSale | WarrantyCost | pMonth | season | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 2009-12-07 | ADESA | 2006 | 3 | MAZDA | MAZDA3 | i | 4D SEDAN I | RED | AUTO | 1.0 | Alloy | 89046 | OTHER ASIAN | MEDIUM | OTHER | 8155.0 | 9829.0 | 11636.0 | 13600.0 | 7451.0 | 8552.0 | 11597.0 | 12409.0 | NaN | NaN | 21973 | 33619 | FL | 7100.0 | 0 | 1113 | 12 | winter |
| 1 | 0 | 2009-12-07 | ADESA | 2004 | 5 | DODGE | 1500 RAM PICKUP 2WD | ST | QUAD CAB 4.7L SLT | WHITE | AUTO | 1.0 | Alloy | 93593 | AMERICAN | LARGE TRUCK | CHRYSLER | 6854.0 | 8383.0 | 10897.0 | 12572.0 | 7456.0 | 9222.0 | 11374.0 | 12791.0 | NaN | NaN | 19638 | 33619 | FL | 7600.0 | 0 | 1053 | 12 | winter |
| 2 | 0 | 2009-12-07 | ADESA | 2005 | 4 | DODGE | STRATUS V6 | SXT | 4D SEDAN SXT FFV | MAROON | AUTO | 2.0 | Covers | 73807 | AMERICAN | MEDIUM | CHRYSLER | 3202.0 | 4760.0 | 6943.0 | 8457.0 | 4035.0 | 5557.0 | 7146.0 | 8702.0 | NaN | NaN | 19638 | 33619 | FL | 4900.0 | 0 | 1389 | 12 | winter |
| 3 | 0 | 2009-12-07 | ADESA | 2004 | 5 | DODGE | NEON | SXT | 4D SEDAN | SILVER | AUTO | 1.0 | Alloy | 65617 | AMERICAN | COMPACT | CHRYSLER | 1893.0 | 2675.0 | 4658.0 | 5690.0 | 1844.0 | 2646.0 | 4375.0 | 5518.0 | NaN | NaN | 19638 | 33619 | FL | 4100.0 | 0 | 630 | 12 | winter |
| 4 | 0 | 2009-12-07 | ADESA | 2005 | 4 | FORD | FOCUS | ZX3 | 2D COUPE ZX3 | SILVER | MANUAL | 2.0 | Covers | 69367 | AMERICAN | COMPACT | FORD | 3913.0 | 5054.0 | 7723.0 | 8707.0 | 3247.0 | 4384.0 | 6739.0 | 7911.0 | NaN | NaN | 19638 | 33619 | FL | 4000.0 | 0 | 1020 | 12 | winter |
| 5 | 0 | 2009-12-07 | ADESA | 2004 | 5 | MITSUBISHI | GALANT 4C | ES | 4D SEDAN ES | WHITE | AUTO | 2.0 | Covers | 81054 | OTHER ASIAN | MEDIUM | OTHER | 3901.0 | 4908.0 | 6706.0 | 8577.0 | 4709.0 | 5827.0 | 8149.0 | 9451.0 | NaN | NaN | 19638 | 33619 | FL | 5600.0 | 0 | 594 | 12 | winter |
| 6 | 0 | 2009-12-07 | ADESA | 2004 | 5 | KIA | SPECTRA | EX | 4D SEDAN EX | BLACK | AUTO | 2.0 | Covers | 65328 | OTHER ASIAN | MEDIUM | OTHER | 2966.0 | 4038.0 | 6240.0 | 8496.0 | 2980.0 | 4115.0 | 6230.0 | 8603.0 | NaN | NaN | 19638 | 33619 | FL | 4200.0 | 0 | 533 | 12 | winter |
| 7 | 0 | 2009-12-07 | ADESA | 2005 | 4 | FORD | TAURUS | SE | 4D SEDAN SE | WHITE | AUTO | 2.0 | Covers | 65805 | AMERICAN | MEDIUM | FORD | 3313.0 | 4342.0 | 6667.0 | 7707.0 | 3713.0 | 4578.0 | 6942.0 | 8242.0 | NaN | NaN | 19638 | 33619 | FL | 4500.0 | 0 | 825 | 12 | winter |
| 8 | 0 | 2009-12-07 | ADESA | 2007 | 2 | KIA | SPECTRA | EX | 4D SEDAN EX | BLACK | AUTO | 2.0 | Covers | 49921 | OTHER ASIAN | MEDIUM | OTHER | 6196.0 | 7274.0 | 9687.0 | 10624.0 | 6417.0 | 7371.0 | 9637.0 | 10778.0 | NaN | NaN | 21973 | 33619 | FL | 5600.0 | 0 | 482 | 12 | winter |
| 9 | 0 | 2009-12-07 | ADESA | 2007 | 2 | FORD | FIVE HUNDRED | SEL | 4D SEDAN SEL | RED | AUTO | 1.0 | Alloy | 84872 | AMERICAN | LARGE | FORD | 7845.0 | 9752.0 | 11734.0 | 13656.0 | 9167.0 | 10988.0 | 12580.0 | 14845.0 | NaN | NaN | 21973 | 33619 | FL | 7700.0 | 0 | 1633 | 12 | winter |
Last rows
| IsBadBuy | PurchDate | Auction | VehYear | VehicleAge | Make | Model | Trim | SubModel | Color | Transmission | WheelTypeID | WheelType | VehOdo | Nationality | Size | TopThreeAmericanName | MMRAcquisitionAuctionAveragePrice | MMRAcquisitionAuctionCleanPrice | MMRAcquisitionRetailAveragePrice | MMRAcquisitonRetailCleanPrice | MMRCurrentAuctionAveragePrice | MMRCurrentAuctionCleanPrice | MMRCurrentRetailAveragePrice | MMRCurrentRetailCleanPrice | PRIMEUNIT | AUCGUART | BYRNO | VNZIP1 | VNST | VehBCost | IsOnlineSale | WarrantyCost | pMonth | season | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 72973 | 0 | 2009-11-24 | ADESA | 2006 | 3 | CHRYSLER | 300 | Bas | 4D SEDAN | GREEN | AUTO | 2.0 | Covers | 68127 | AMERICAN | SPECIALTY | CHRYSLER | 8929.0 | 10605.0 | 10143.0 | 11953.0 | 8721.0 | 10295.0 | 12398.0 | 14231.0 | NaN | NaN | 18111 | 30212 | GA | 7600.0 | 0 | 1215 | 11 | fall |
| 72974 | 0 | 2009-12-02 | ADESA | 2002 | 7 | DODGE | 1500 RAM PICKUP 2WD | ST | QUAD CAB 4.7L SLT | GOLD | AUTO | 1.0 | Alloy | 93744 | AMERICAN | LARGE TRUCK | CHRYSLER | 5485.0 | 6823.0 | 6424.0 | 7869.0 | 6201.0 | 7686.0 | 9169.0 | 10173.0 | NaN | NaN | 18111 | 30212 | GA | 7500.0 | 0 | 1353 | 12 | winter |
| 72975 | 0 | 2009-12-02 | ADESA | 2007 | 2 | HYUNDAI | SONATA V6 | Lim | 4D SEDAN | SILVER | AUTO | 1.0 | Alloy | 74407 | OTHER ASIAN | MEDIUM | OTHER | 7712.0 | 9614.0 | 8829.0 | 10883.0 | 7453.0 | 9004.0 | 11776.0 | 13041.0 | NaN | NaN | 18111 | 30212 | GA | 8000.0 | 0 | 803 | 12 | winter |
| 72976 | 0 | 2009-12-02 | ADESA | 2004 | 5 | FORD | EXPLORER 2WD V6 | XLS | 4D SUV 4.0L FFV XLS | SILVER | AUTO | 1.0 | Alloy | 82563 | AMERICAN | MEDIUM SUV | FORD | 4668.0 | 5714.0 | 5541.0 | 6671.0 | 6148.0 | 7521.0 | 9659.0 | 10944.0 | NaN | NaN | 18881 | 30212 | GA | 7000.0 | 0 | 1243 | 12 | winter |
| 72977 | 0 | 2009-12-02 | ADESA | 2006 | 3 | KIA | SORENTO 2WD | EX | 4D SPORT UTILITY EX | GOLD | AUTO | 1.0 | Alloy | 65399 | OTHER ASIAN | MEDIUM SUV | OTHER | 7843.0 | 9171.0 | 8970.0 | 10405.0 | 7652.0 | 9310.0 | 12148.0 | 14204.0 | NaN | NaN | 18111 | 30212 | GA | 7900.0 | 0 | 1508 | 12 | winter |
| 72978 | 1 | 2009-12-02 | ADESA | 2001 | 8 | MERCURY | SABLE | GS | 4D SEDAN GS | BLACK | AUTO | 1.0 | Alloy | 45234 | AMERICAN | MEDIUM | FORD | 1996.0 | 2993.0 | 2656.0 | 3732.0 | 2190.0 | 3055.0 | 4836.0 | 5937.0 | NaN | NaN | 18111 | 30212 | GA | 4200.0 | 0 | 993 | 12 | winter |
| 72979 | 0 | 2009-12-02 | ADESA | 2007 | 2 | CHEVROLET | MALIBU 4C | LS | 4D SEDAN LS | SILVER | AUTO | NaN | NaN | 71759 | AMERICAN | MEDIUM | GM | 6418.0 | 7325.0 | 7431.0 | 8411.0 | 6785.0 | 8132.0 | 10151.0 | 11652.0 | NaN | NaN | 18881 | 30212 | GA | 6200.0 | 0 | 1038 | 12 | winter |
| 72980 | 0 | 2009-12-02 | ADESA | 2005 | 4 | JEEP | GRAND CHEROKEE 2WD V | Lar | 4D WAGON LAREDO | SILVER | AUTO | 1.0 | Alloy | 88500 | AMERICAN | MEDIUM SUV | CHRYSLER | 8545.0 | 9959.0 | 9729.0 | 11256.0 | 8375.0 | 9802.0 | 11831.0 | 14402.0 | NaN | NaN | 18111 | 30212 | GA | 8200.0 | 0 | 1893 | 12 | winter |
| 72981 | 0 | 2009-12-02 | ADESA | 2006 | 3 | CHEVROLET | IMPALA | LS | 4D SEDAN LS | WHITE | AUTO | 1.0 | Alloy | 79554 | AMERICAN | LARGE | GM | 6420.0 | 7604.0 | 7434.0 | 8712.0 | 6590.0 | 7684.0 | 10099.0 | 11228.0 | NaN | NaN | 18881 | 30212 | GA | 7000.0 | 0 | 1974 | 12 | winter |
| 72982 | 0 | 2009-12-02 | ADESA | 2006 | 3 | MAZDA | MAZDA6 | s | 4D SEDAN S | SILVER | AUTO | 1.0 | Alloy | 66855 | OTHER ASIAN | MEDIUM | OTHER | 7535.0 | 8771.0 | 8638.0 | 9973.0 | 7730.0 | 9102.0 | 11954.0 | 13246.0 | NaN | NaN | 18111 | 30212 | GA | 8000.0 | 0 | 1313 | 12 | winter |